 International Journal of Knowledge Engineering and Data Mining (IJKEDM)
ISSN (Online): 1755-2095 - ISSN (Print): 1755-2087
Click to download IJKEDM leaflet Abstracting/Indexing Services and Journal Lists
IJKEDM publishes theoretical and practical research development on knowledge engineering and data mining. The journal is devoted to techniques and skills used for knowledgebase systems or intelligent applications development, including all areas of data architecture, data integration and data exchange, data mining, knowledge acquisition, representation, dissemination, codification and discovery techniques, and their technologies. It also focuses on their applications and case studies in industrial, medical and business sectors.
 Objectives
The objectives of IJKEDM are to establish an effective channel of communication between managers, users, knowledge engineers, IT professionals, medical informaticians, academic and research institutions and persons concerned with the development knowledgebase systems and intelligent applications. It also aims to promote and coordinate developments in the field of knowledge engineering and data mining. IJKEDM aims to highlight theoretical and practical research in data analysis architectures, models, methodologies, techniques and technologies in knowledge engineering and data mining, and their application. Readership
IJKEDM provides a vehicle to help business analysts, knowledge engineers, IT professionals, medical informaticians, academics and researchers to disseminate information and to learn from each other's work. Readers will be able to learn and obtain techniques and skills in knowledge engineering and data mining. Readers will learn future directions and research development in data analysis, data integration and exchange, data mining techniques, knowledge acquisition, representation and discovery in knowledgebase system, and their applications. Contents
IJKEDM is devoted to the publications of high quality papers on theoretical developments and practical applications in knowledge engineering and data mining. The journal publishes original papers, state-of-the-art reviews, technical reports and case studies. Special issues devoted to current issues in knowledge engineering and data mining will occasionally be published. Subject Coverage
Subjects coverage includes but is not limited to
- Ontology engineering
- Knowledge representation techniques
- Knowledge retrieval
- Text mining
- Knowledge-based/rule-based/case-based/expert system design
- Knowledge acquisition, dissemination, discovery methodologies and technologies
- Algorithms for data mining
- Data models
- Database design and architecture
- Intelligent system design
- Data integration and exchange
- Data security and data integrity
- Database administration and maintenance issues
- Applications and case studies
Specific Notes for Authors
Submitted papers should not have been previously published nor be currently
under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and the author has cleared any necessary permissions with the copyright owner if it has been previously copyrighted). All authors must declare they have read and agreed to the content of the submitted manuscript. A full statement of our Ethical Guidelines for Authors is available.
All papers are refereed through a double blind process. A guide for authors,
sample copies and other relevant information for submitting papers are
available on the Author Guidelines
web-page.
To submit a paper, please go to Submissions of Papers
All papers must be submitted online. If you experience any problems submitting your paper online, please contact submissions@inderscience.com,
describing the exact problem you experience. Please include in your email the title of the Journal.
Editors and Members of the Editorial Board
Editor in Chief Dr. Adela S.M. Lau
The Hong Kong University of Science and Technology
Clear Water Bay
Kowloon
HONG KONG
adela.ijkedm gmail.com
Editorial Administrator Willie Lui
Carrier HK Ltd
HONG KONG Editorial Board Members Prof. Hamid R. ArabniaHa
University of Georgia
USA Prof. Joseph DavisJo
The University of Sydney
AUSTRALIA Prof. Maling EbrahimpourMa
Roger Williams University
USA Prof. Ephrem EyobEp
Virginia State University
USA Prof. Wynne HsuWy
National University of Singapore
SINGAPORE Prof. Kyoichi Jim KijimaKy
Tokyo Institute of Technology
JAPAN Prof. Chi-Guhn LeeCh
University of Toronto
CANADA Prof. Jay LeeJa
University of Cincinnati
USA Prof. Jinyan LiJi
Nanyang Technological University
SINGAPORE Prof. Dr. Binshan LinBi
Louisiana State University in Shreveport
USA Prof. Jye-Chyi (JC) LuJy
Georgia Institute of Technology
USA Prof. Nikos MastorakisNi
Hellenic Naval Academy
GREECE Prof. Yoshiteru NakamorYo
Japan Advanced Institute of Science and Technology
JAPAN Prof. Brézillon PatrickBr
Pierre et Marie Curie University
FRANCE Dr. William Wei SongWi
University of Durham
UK Prof. Lotfi A. ZadehLo
University of California, Berkeley
USA
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